Story
Something is changing in the unit economics of software
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Overview
Software traditionally allowed for high gross margins of 75-85%, enabling cost-effective distribution to millions of users after initial development. This model made aggressive customer acquisition financially viable, as the cost of servicing each additional customer was minimal.
Summary from nicolo.xyz.
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Hacker News · nicolo.xyz
Hacker News discussion ↗
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Based on 5 sampled comments from this thread. Analyzed 2026-08-06.
- Praise: The cost of AI inference has dramatically dropped, making it cheaper than ever for companies to leverage advanced models without breaking the bank.
- Praise: The idea that running inference will soon resemble app hosting costs is exciting — it's a sign that AI is becoming more accessible and integrated into everyday tools.
- Praise: There's a growing belief that smaller, specialized models could pave the way for efficient on-device AI, potentially shifting how we interact with technology.
- Concern: Many commenters are skeptical about the claim that inference costs will drop 'very fast' — they argue we're still stuck with high costs and inefficiencies.
- Concern: The notion that companies will simply replace SaaS with custom-built tools overlooks the complexity and costs of development, hosting, and maintenance.
- Concern: Despite the optimism about falling costs, there are concerns that as AI becomes cheaper, users will just find more ways to use it, not necessarily reduce spending.